- Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
- Vol: 17 Issue: 1
- Veri madenciliği kümeleme algoritmaları kullanarak arıza dayanımlı denetim sistemi tasarımı
Veri madenciliği kümeleme algoritmaları kullanarak arıza dayanımlı denetim sistemi tasarımı
Authors : Umut ALTINIŞIK, Mehmet YILDIRIM
Pages : 9-16
Doi:10.16984/saufbed.70344
View : 8 | Download : 2
Publication Date : 2013-04-01
Article Type : Other
Abstract :In this study, two clustering algorithms and their success in fault isolation have been investigated in order to use in our fault tolerant control (FTC) system. With so many applications used today, the mathematical model of the system cannot be completely established. Therefore, in this study, fault detection and isolation (FDI) is realized by using knowledge-based methods, without the need for any mathematical model. Sensor data, which are taken offline by FDI, are clustered to create knowledge base by means of k-means and farthest first traversal algorithm (FFTA), respectively. The results obtained by the two algorithms are compared and FFTA has found to be more successful in fault tolerance.Keywords : Arıza dayanımlı denetim, arıza tespit ve tanılama, k-means, üçlü tank, veri madenciliği